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Sunday strip: Ajeya Cotra — 2015 Berkeley undergrad on Open Phil's radar; Jul 2016 first research hire; Sep 2020 biological-anchors report; 2022 AI-takeover argument; Mar 2023 Planned Obsolescence with Kelsey Piper; finale: Cotra + Shelf the beast at a lookout over a machine-run valley.
“SHE FORECAST THE APOCALYPSE”

Ajeya Cotra

PUTTING NUMBERS ON AI DOOM

UPDATED Oct 7, 2026

THE DEAL

Cotra became Open Philanthropy's first dedicated research hire and built one of the best-known quantitative forecasts for transformative AI — Open Phil's term (popularized by Holden Karnofsky) for AI that reshapes society as thoroughly as the industrial revolution did.

SOURCES: Effective Altruism ForumAjeya CotraAjeya CotraAjeya CotraAjeya Cotra

AT A GLANCE

EDUCATION
University of California, Berkeley · Electrical Engineering and Computer Sciences · graduated earlyMETRAjeya Cotra

THE ARCHIVE

History · cartoons · headlines
THE TIMELINE7 sourced events

SHE TRIED TO PUT A DATE ON TRANSFORMATIVE AI

Cotra became Open Philanthropy's first dedicated research hire and built one of the best-known quantitative forecasts for transformative AI — Open Phil's term (popularized by Holden Karnofsky) for AI that reshapes society as thoroughly as the industrial revolution did. Her 'biological anchors' report turned fuzzy timeline vibes into explicit probabilities, forcing the field's core fight: is takeoff something you predict and engineer for, or something that happens to you? As her timelines shortened she moved from forecasting into alignment, and now works hands-on on loss-of-control evaluation at METR.

  1. 2015

    BERKELEY EA PUTS HER ON OPEN PHIL'S RADAR

    While studying electrical engineering and computer science at UC Berkeley, Cotra co-ran an effective-altruism course and interned with GiveWell. She later said the student work helped put her on GiveWell and Open Philanthropy's radar.

    SOURCES: Effective Altruism ForumreportedAjeya Cotrafirst-party

  2. Jul 2016

    SHE BECOMES OPEN PHIL'S FIRST DEDICATED RESEARCH HIRE

    After graduating early from Berkeley, Cotra joined Open Philanthropy full time. She later described herself as the first research employee hired specifically for Open Phil rather than for the combined GiveWell/Open Phil operation.

    SOURCES: Effective Altruism ForumreportedAjeya Cotrafirst-party

  3. Sep 18, 2020

    SHE TRIES TO PUT A DATE ON TRANSFORMATIVE AI

    Cotra released her draft biological-anchors report, a quantitative framework for estimating when the compute required for transformative AI might become affordable. The project became one of the best-known attempts to put explicit probabilities on advanced-AI timelines.

    SOURCES: Ajeya Cotrafirst-party

  4. 2022

    THE FORECAST GETS SHORTER — AND THE RISK MODEL GETS DARKER

    Cotra published both an updated view of her AI timelines and a long argument that, without specific countermeasures, the easiest path to transformative AI could lead to AI takeover. It staked her side of the field's sharpest live debate: alignment has to be deliberately engineered in before the leap, versus the racing instinct to scale now and sort it out later.

    SOURCES: Ajeya Cotrafirst-partyAjeya Cotrafirst-party

  5. Mar 26, 2023

    SHE MOVES FROM FORECASTING INTO BUILDING THE SAFETY FIELD

    Cotra launched Planned Obsolescence with Kelsey Piper while funding AI-alignment research at Open Philanthropy. The project was explicitly aimed at thinking ahead to a world in which AI systems could be making many of society's most important decisions.

    SOURCES: Ajeya Cotrafirst-party

  6. 2024

    SHE STARTS WRITING THE SAFETY CHECKS

    Cotra led the technical AI safety program at what is now Coefficient Giving, shifting from individual forecasting toward deciding which research programs and grants might reduce risks from more capable AI systems.

    SOURCES: METRreportedCoefficient Givingreported

  7. 2026

    THE FORECASTER GOES INTO THE EVALUATION ROOM

    Cotra joined METR's technical staff to work on threat modeling and loss-of-control risk assessment for advanced AI, moving from funding and forecasting safety work into directly evaluating evidence about frontier systems.

    SOURCES: METRreported

KNOWN ASSOCIATES1 other files